NASDAQ:NCMI
National CineMedia Stock Price (Quote)
$4.95
+0.0400 (+0.81%)
At Close: May 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.23 | $5.03 | Tuesday, 21st May 2024 NCMI stock ended at $4.95. This is 0.81% more than the trading day before Monday, 20th May 2024. During the day the stock fluctuated 3.64% from a day low at $4.81 to a day high of $4.99. |
90 days | $3.71 | $5.75 | |
52 weeks | $2.57 | $5.75 |
Date | Open | High | Low | Close | Volume |
Oct 16, 2023 | $3.92 | $3.93 | $3.81 | $3.82 | 394 619 |
Oct 13, 2023 | $3.80 | $3.85 | $3.72 | $3.85 | 610 417 |
Oct 12, 2023 | $4.00 | $4.09 | $3.53 | $3.75 | 955 741 |
Oct 11, 2023 | $4.34 | $4.35 | $4.01 | $4.01 | 495 650 |
Oct 10, 2023 | $4.30 | $4.47 | $4.30 | $4.30 | 434 860 |
Oct 09, 2023 | $4.29 | $4.47 | $4.26 | $4.37 | 504 994 |
Oct 06, 2023 | $4.05 | $4.34 | $4.01 | $4.29 | 693 448 |
Oct 05, 2023 | $4.11 | $4.14 | $4.05 | $4.05 | 299 479 |
Oct 04, 2023 | $4.10 | $4.22 | $4.07 | $4.11 | 619 879 |
Oct 03, 2023 | $4.33 | $4.33 | $4.10 | $4.12 | 470 263 |
Oct 02, 2023 | $4.48 | $4.55 | $4.37 | $4.39 | 358 398 |
Sep 29, 2023 | $4.48 | $4.54 | $4.39 | $4.49 | 317 060 |
Sep 28, 2023 | $4.43 | $4.50 | $4.31 | $4.45 | 318 931 |
Sep 27, 2023 | $4.49 | $4.55 | $4.43 | $4.45 | 260 483 |
Sep 26, 2023 | $4.60 | $4.71 | $4.48 | $4.50 | 388 691 |
Sep 25, 2023 | $4.66 | $4.81 | $4.50 | $4.69 | 456 200 |
Sep 22, 2023 | $4.76 | $4.84 | $4.66 | $4.75 | 1 427 678 |
Sep 21, 2023 | $4.43 | $4.67 | $4.23 | $4.56 | 421 559 |
Sep 20, 2023 | $4.60 | $4.60 | $4.42 | $4.50 | 384 642 |
Sep 19, 2023 | $4.86 | $4.86 | $4.59 | $4.62 | 876 997 |
Sep 18, 2023 | $4.68 | $5.00 | $4.68 | $4.84 | 1 405 774 |
Sep 15, 2023 | $4.76 | $4.83 | $4.62 | $4.83 | 5 466 216 |
Sep 14, 2023 | $4.71 | $4.89 | $4.58 | $4.76 | 948 008 |
Sep 13, 2023 | $4.72 | $4.83 | $4.51 | $4.71 | 853 219 |
Sep 12, 2023 | $4.71 | $4.98 | $4.65 | $4.83 | 417 855 |
FAQ
What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
How can I use NCMI stock historical prices to predict future price movements?
Trend Analysis: Examine the NCMI stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
Why do the NCMI stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.
How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.